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remote brain areas in vivo in animal models that underlie plasticity in the prefrontal cortex of mice. We will focus on neuronal micro- and macro-circuits that influence our feeding behavior, which
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mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering
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of myocarditis through a systems medicine approach. By integrating data from genomics, virology, immunology, metabolomics, and microRNA analyses, all derived from well-characterized patient cohorts, we aim
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integral privacy, k-anonymity), different scenarios (centralized and decentralized data; local and global privacy). For decentralized data, we consider federated learning. We are particularly interested in
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well as integration of carbon cycling data with complementary ecophysiology and/or soils data from the sites. Field visits to the site are not essential, but are possible if they can be explicitly motivated